Building on existing integrations with cloud leaders AWS and Google Cloud and collaborations with Arcadia and TD2, Atropos Health is now partnering with Merck. This new collaboration will tap Atropos Health’s GENEVA OS (Generative Evidence Acceleration Operating System) and related tools with the aim of speeding the generation of real-world evidence. Under the agreement, Merck’s…
The future of RWD and RWE in healthcare decision-making: Applications of novel real-world data collection methods for healthcare decision-making
Real-world evidence and real-world data The use of real-world evidence (RWE) to support regulatory and reimbursement decision-making received increasing attention over the past decades. The US FDA provides a definition of RWE as “the clinical evidence about the usage and potential benefits and risks of a medical product”1. RWE can be used across the entire…
Better data can mean faster drug development, improved clinical trials and better healthcare
What’s the difference between a multimodal generative AI system to plan a vacation itinerary versus guiding cancer treatment? For the former, data quality is a definite plus, but for the latter, it’s indispensable. “If I ask ChatGPT to plan a vacation for me and it spits out something, I might sit there and second guess…
Investments in AI and ML help PV teams transform safety case processing
Thanks to automation in pharmacovigilance, the next generation of safety is here — and with it, there is an immense opportunity for firms that can change how they work and maximize the opportunity automation creates. Leading safety teams are seeing up to 80% efficiency gains on key workflows by investing in touchless case processing, automating…
Why AI alone won’t resolve drug discovery challenges
Big Pharma and researchers are sharpening their focus on AI to speed drug discovery. But the path to fully AI-driven drug discovery faces substantial hurdles, according to Adityo Prakash, CEO of Verseon. “When it comes to drug discovery, AI has a data problem with which the pharmaceutical industry has not yet come to terms,” he…
An intelligent approach to data cleaning
The collection of good quality data from clinical trials is essential to data analysis to produce robust results that meet the precise requirements for regulatory need. Data from clinical trials are increasingly complex, related to involved protocols, the geography of trial sites, increasing data streams and technological advances. Therefore, studies must be set up to…